/*
 *  Copyright (c) 2010 Mathew Hall, University of Sheffield.
 *  All rights reserved.
 * 
 *  Redistribution and use in source and binary forms, with or
 *  without modification, are permitted provided that the following conditions
 *  are met:
 * 
 *  Redistributions of source code must retain the above copyright
 *  notice, this list of conditions and the following disclaimer.
 *  Redistributions in binary form must reproduce the above
 *  copyright notice, this list of conditions and the following
 *  disclaimer in the documentation and/or other materials provided
 *  with the distribution.
 *  Neither the name of the Universtiy of Sheffield nor the names of its
 *  contributors may be used to endorse or promote products derived
 *  from this software without specific prior written permission.
 * 
 *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
 *  CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
 *  INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
 *  MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 *  DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
 *  CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 *  SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
 *  NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 *  LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
 *  HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 *  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
 *  OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
 *  EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

package search.util;

import primitives.cluster.ClusterHead;

/**
 *
 * @author Mathew Hall
 */
public class SearchResult {
    private ClusterHead clustering;
    private int evals;
    public SearchResult(ClusterHead clustering, double fitnessValue) {
        this.clustering = clustering;
        this.fitnessValue = fitnessValue;
    }


	private String program = "";
	
	public String getProgram(){
		return program;
	}
	
	public void setProgram(String p){
		program = p;
	}

    

    public ClusterHead getClustering() {
        return clustering;
    }

    public void setClustering(ClusterHead clustering) {
        this.clustering = clustering;
    }

    public double getFitnessValue() {
        return fitnessValue;
    }

    public void setFitnessValue(double fitnessValue) {
        this.fitnessValue = fitnessValue;
    }
    private double fitnessValue;

    public void setFitnessEvaluations(int e){
        evals = e;
    }

    public int getFitnessEvaluations(){
        return evals;
    }

}
